1. 1st MOVESMART WORKSHOP October 2015 Ignacio (Iñaki) Olabarrieta Bilbao 15-10-15 ICT Cloud ‐ based Platform and Mobility Services Available, Universal and Safe for all Users

2. 2 PROJECT @FP7MoveUs FP7 MoveUs Project Susana Palomares(ATOS) susana.palomares@atos.net Sergio Campos (TECNALIA) sergio.campos@tecnalia.com Coordinator’s Contact Members:

3. 3 GOALS AND OBJECTIVES MoveUs aims to radically change the European users’ mobility habits by offering intelligent and personalized travel information services, helping people to decide the best transport choice and providing meaningful feedback on the energy efficiency savings obtained as a result. –To integrate mobility data from heterogeneous sources and deliver it in a coherent and useful way –To provide green, multimodal, personalized, sustainable, safe and private, reliable and extensible services –Provide business cases and incentives recommendations for smart mobility services in urban environments. Main Objectives:

4. 4 eMotion In-Time Co-Cities Tampere Madrid Genoa Energy Consumption/Carbon Footprint. It includes: Key-Performance Indicators (KPIs), energy labels and parameters affecting energy consumption. Data Model: Use Cases:

5. 5 OPERATIONAL SCENARIO

6. www.moveus-project.eu OPEN SOURCE BASED

7. 7 SERVICES Incentive management Management of incentives, awards, coupons, advertisement, vouchers and providers of these elements. Trip Planning and infomobility Location-based information services on traffic and mobility Multimodal Trip Planning Crowd Data Management Crowd-sourced data collection and feedback options Energy Consumption Status and Suggestions Assess the energy efficiency and/or CO2 cost of a journey. User Management Manages the user’s mobility personal profile enabling personalized and customized mobility information service. Positioning A geocoding service Smart Crossing for pedestrians Detects of pedestrian crossing and extends the green time until it has crossed safely. Priority for Public Transport vehicles Prioritizes to specific vehicles (public buses) on intersections controlled by traffic lights from the Urban Traffic Control System.

8. ALGORITHMS Personal Mobility Patterns & Trip Prediction Multi-Modal Planning Traffic State Prediction Energy Efficiency Calculation Data Sources Aggregation